A mixed cumulative sum homogeneously weighted moving average control chart for monitoring process mean

被引:12
作者
Abid, Muhammad [1 ,2 ]
Mei, Sun [1 ]
Nazir, Hafiz Zafar [3 ]
Riaz, Muhammad [4 ]
Hussain, Shahid [1 ]
Abbas, Zameer [5 ]
机构
[1] Jiangsu Univ, Sch Math Sci, Zhenjiang 212013, Jiangsu, Peoples R China
[2] Govt Coll Univ, Dept Stat, Faisalabad, Pakistan
[3] Univ Sargodha, Dept Stat, Sargodha, Pakistan
[4] King Fahd Univ Petr & Minerals, Dept Math & Stat, Dhahran, Saudi Arabia
[5] Govt Ambala Muslim Coll, Dept Stat, Sargodha, Pakistan
基金
美国国家科学基金会;
关键词
average run length; CUSUM; EWMA; HWMA; mixed control chart; process location; QUALITY-CONTROL; CONTROL SCHEMES; EFFICIENT; CUSUM;
D O I
10.1002/qre.2824
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The homogeneously weighted moving average (HWMA) control chart is famous to identify small deviations in the process mean. The plotting statistic of the HWMA chart assigns equal weight among the previous samples as compared to the plotting statistic of the exponentially weighted moving average chart. We propose a new HWMA chart that uses the plotting statistic of the cumulative sum chart. The run length performance of the proposed chart is measured in terms of the average, the standard deviation, some percentile points, and compared with some existing counterparts' charts. The comparison shows that the proposed chart performs superior to their existing counterparts. An application based on a real-life dataset is also presented.
引用
收藏
页码:1758 / 1771
页数:14
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